David Rosario receiving his certificate and token of appreciation from AEA – Philippines President, Allan Borja.
On the second day of the Digital Transformation through Enterprise Architecture (DTEA) Conference 2024, David Rosario, innovation lead at Katapult Digital, shared valuable insights about the future of data analytics. His session focused on the critical role of augmented analytics and how AI is reshaping businesses in interpreting and acting on data.
The Data Dilemma: Potential vs. Reality
David kicked off with a statistic that caught everyone’s attention: enterprises with a strong data culture can experience a 17% increase in profits from analytics investments. Yet, 87% of these initiatives fail, often due to budget constraints, overwhelming tools, and misalignment with stakeholders.
The Solution: AI-Powered Dashboards
David’s key takeaway was simple but powerful: user-friendly dashboards powered by AI can solve these issues. While dashboards themselves aren’t new, AI is changing the game. He outlined several success factors for creating effective dashboards:
- Aggregating data from multiple sources
- Applying design principles for usability
- Ensuring real-time, automated insights
- Using AI for data visualization and reporting
Case Study: A Success Story with AI-Driven Insights
One compelling example David shared was how AI-driven insights reduced a client’s reporting time from 7 days to under a day. This optimization led to a 13% year-over-year lift in Return On Ad Spend (ROAS) and won the client the Digital Analytics Agency of the Year award.
Addressing AI Challenges: Accuracy and Reliability
A topic brought up during the Q&A was managing AI pitfalls, such as hallucinations and false positives. David explained how Katapult Digital addresses these challenges with their proprietary language model and Retrieval-Augmented Generation (RAG) to ensure reliable, data-backed insights.
The Future of Analytics: Simplified, Accessible, and AI-Driven
As David concluded, it’s clear that AI-powered analytics tools will continue to play a vital role in simplifying data consumption, making insights actionable, and driving better business outcomes.
What are your thoughts on using AI to enhance data dashboards? Have you seen similar success in your work?
